The technical field generally relates to synthetic aperture (SA) imaging, and more particularly, to techniques for phase-error correction in a synthetic aperture imaging system with local oscillator (LO) time delay adjustment.
SA imaging can be used to increase resolution beyond the diffraction limit of a physical aperture of an imaging system. In SA imaging systems, a large “virtual” aperture is synthesized along a path by coherently summing the amplitude and phase information of return echoes from a plurality of electromagnetic signals sequentially transmitted by a relatively small physical aperture provided on a platform moving along the path. SA imaging systems generally include a transmitter-receiver unit mounted on an airborne, spaceborne, or terrestrial platform traveling along a path over a target region to be imaged. The transmitter-receiver unit directs a plurality of electromagnetic signals onto the target region and collects a series of phase-coherent return echoes corresponding to the electromagnetic signals reflected by the target region. The return echoes can be recorded, and then coherently combined using signal processing techniques to reconstruct a high-resolution image of the target region.
SA imaging was initially developed and has been successfully employed at radio frequencies, where it is referred to as “synthetic aperture radar” (SAR) imaging. Conventional SAR systems typically operate in the centimeter (cm) wavelength range and produce images with azimuth resolutions of the order of a decimeter (dm) to a meter (m), depending on the applications. As resolution is generally inversely proportional to the wavelength used for imaging, there has been a growing interest to extend SAR technology to shorter wavelengths. In this context, an emerging technology referred to as “synthetic aperture ladar” (SAL) imaging has been developed to apply SAR technology to the visible and near-infrared portions of the electromagnetic spectrum. It is envisioned that SAL could produce images with azimuth resolutions of centimeters or less, and provide information complementary to that provided by SAR systems. Most implementations of SAL imaging are based on coherent detection with chirped signals. In coherent detection, the return signal reflected by the target is mixed with an LO reference signal. The mixing of the return signal with the LO signal results in the generation of a beat signal having a frequency equal to the difference between the frequencies of the two mixed signals. The beat frequency depends on the difference between the path length of the LO signal and the path length of the main signal from the source to the target and back to the detector.
A challenge in SAL imaging lies in the adjustment of the optical path length of the LO signal to match the round-trip path length of the transmitted/returned (main) signal, to ensure that the spectrum of the beat signal falls within the bandwidth of the detector. One existing approach devised to tackle with this challenge is to use an optical delay, for example an optical fiber, to delay the LO signal by an amount that is approximately equal to the round-trip time to the target. A drawback of this approach is that different delay lines must be used for different target ranges, thus preventing or hindering the ability to make real-time or near real-time adjustment of the relative path length difference between the main and LO signals. Another challenge in SAL imaging is the measurement and correction of phase errors. As SAL imaging relies on coherent detection, it is susceptible to laser phase noise. Laser phase noise arises from the finite coherence length and other instabilities of laser sources and causes phase errors that can degrade the image reconstruction process. Furthermore, any uncompensated fluctuations in the relative path length difference, or relative temporal delay, between the main signal and the LO signal can affect the phase of the measured signal and, in turn, lead to phase errors that impair the integrity of the measured signals. Challenges therefore remain in the field of SAL imaging involving LO delay adjustment and associated phase-error compensation.
In accordance with an aspect, there is provided a method for phase-error correction in a synthetic aperture (SA) imaging system. The method includes:
In accordance with another aspect, there is provided a synthetic aperture (SA) imaging system. The SA imaging system includes:
Other features and advantages of the present description will become more apparent upon reading of the following non-restrictive description of specific embodiments thereof, given by way of example only with reference to the accompanying drawings.
In the following description, similar features in the drawings have been given similar reference numerals, and, to not unduly encumber the figures, some elements may not be indicated on some figures if they were already identified in one or more preceding figures. It should also be understood herein that the elements of the drawings are not necessarily depicted to scale, since emphasis is placed upon clearly illustrating the elements and structures of the present embodiments.
The present description generally relates to a method for phase-error correction in a synthetic aperture (SA) imaging system with temporal delay adjustment of the local oscillator (LO) signal. The present description also generally relates to an SA imaging system capable of implementing the method.
Referring to
The present techniques can be particularly suitable for use in SA ladar (SAL) applications employing wavelengths in the visible or near-infrared portions of the electromagnetic spectrum. Those skilled in the art will recognize, however, that the methods and systems described herein can also be applied to other types of SA imaging modalities, including, but not limited to, SA radar (SAR) imaging, SA terahertz imaging, SA infrared imaging, SA sonar (SAS) imaging, and SA ultrasound (SAU) imaging. It is noted that acoustic waves rather than electromagnetic waves are employed to form the synthetic aperture in SAS and SAU imaging. In the present description, the terms “light” and “optical” are used to refer to radiation in any appropriate region of the electromagnetic spectrum. More particularly, the terms “light” and “optical” are not limited to visible light, but can also include, for example, the radio, microwave, terahertz, infrared, and ultraviolet wavelength ranges. For example, the terms “light” and “optical” can encompass electromagnetic radiation having a wavelength ranging from a few hundreds of nanometers (nm) to a few micrometers (μm) in SAL applications.
As mentioned above, SAL employs coherent detection. In coherent detection, the return signal reflected by the target is mixed with an LO signal. The mixing of the return signal with the LO signal generates a beat signal having a frequency, called the beat frequency, equal to the difference between the frequencies of the two mixed signals. The phase, frequency and other spectral characteristics of the return signal can be extracted from the beat signal to provide information about the target region. The beat frequency depends on the difference between the path length of the LO signal and the round-trip path length of the transmitted/returned (main) signal. A challenge in SAL is to adjust the LO signal relative to the transmission signal to ensure that the spectrum of the beat signal falls within the bandwidth of the detector, while at the same time keeping phase errors below a specified threshold. Indeed, phase errors can manifest themselves as image artifacts, a loss of resolution, and a reduction in the signal-to-noise ratio (SNR), which combine to blur or otherwise degrade the quality of the reconstructed images. Thus, to form SAL images of sufficiently high quality, it is desirable that phase errors be measured or calculated so that they can be corrected during the image reconstruction process.
In some implementations, the method for phase-error correction can include generating a transmission signal and an LO signal from two distinct linearly chirped laser pulses such that these signals are generated with a relative time delay. A portion of the transmission signal is directed onto a target region to be imaged, and a return signal produced by reflection of the portion of the transmission signal from the target region is collected and mixed with a portion of the LO signal to provide a raw SA signal. The time delay between the transmission signal and the LO signal is adjusted to match the round-trip time to the target region. One feature of some implementations of the method described herein is that the LO time delay can be adjusted in real-time or near real-time during data acquisition in accordance with target range variations. This flexibility in adjusting the delay of the LO signal can be advantageous compared to existing methods in which the transmission signal and the LO signal come from the same optical signal and different optical delay lines are used for different target ranges to delay the LO signal by an amount that is approximately equal to the round-trip time to the target. However, the fact that the transmission signal and the LO signal originate from different optical signals, and in most cases different optical sources, can make the present techniques more susceptible to phase errors than existing methods. In this context, the present techniques provide a method for determining and correcting phase errors in and between the transmission signal and the LO signal, as will be described in greater detail below.
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In the illustrated embodiment, the source assembly 30 includes a transmission optical source 36 that generates the transmission signal 32 at a time t0 and an LO optical source 38, distinct from the transmission optical source 36, that generates the LO signal 34 at time t0+Δt, where Δt is the time delay between the two signals 32, 34. A delay controller 86 operatively connected to the transmission and LO optical sources 36 and 38 can be used to control the time delay Δt between the transmission signal 32 and the LO signal 34. As mentioned above, depending on the application, the time delay Δt can be positive or negative depending on whether the LO signal 34 is generated after or before the transmission signal 32, respectively. In SAL, the two optical sources 36, 38 can be laser sources. Depending on the application, the laser sources may be operated in continuous wave or pulsed regime, and may or may not be modulated. For example, in some implementations, each one of the transmission optical source 36 and the LO optical source 38 can be embodied by a pulsed fiber laser system provided with a directly modulated laser diode configured to perform a linear frequency modulation, or chirp modulation, of the transmission signal 32 and the LO signal 34. Depending on the application, the chirp can be an up-chirp or a down-chirp. In some implementations, the transmission signal 32 and the LO signal 34 can have a nonlinear chirp waveform.
It is noted that other types of optical sources can be used in other embodiments including, but not limited to, a gas laser, a solid-state laser, a diode laser, a dye laser, a fiber laser, and the like. Also, in some implementations, the transmission signal and the LO signal can be modulated externally, that is, after signal generation, for example using a waveform modulator or a phase shifter provided outside and downstream of the transmission optical source and the LO optical source. For example, chirped signals can be generated with a continuous-wave source having its output coupled to an external phase modulator. It is noted, however, that direct modulation may be preferred in some applications since it can provide chirp bandwidths that are significantly larger than those achievable by external modulation (e.g., as large as 1 nm for direct modulation versus less than 10−3 nm for external modulation).
In some implementations, the transmission signal and the LO signal are linearly chirped pulses whose time-dependent electric fields ET(t) and ELO(t) can be written as:
E
T(t)=AT(t)exp{i[2πf0t+KTt2+φT(t)]}, (1)
E
LO(t)=ALO(t)exp{[i[2π(f0−Δf)(t−Δt−δt)+πKLO(t−Δt−δt)2+φLO(t−Δt−δt)]}. (2)
In Equation (1) and (2), f0 and f0−Δf are the center frequencies, KT and KLO are the chirp rates, AT(t) and ALO(t) are the pulse amplitudes. By way of example, in SAL applications, the transmission and LO signals can have a center frequency of about 30 to 300 terahertz (THz) (e.g., 193 THz, corresponding to a wavelength of 1.55 μm), a pulse duration ranging from a few nanoseconds (ns) to a few microseconds (μs), and a chirp rate ranging from 3×1016 hertz/second (Hz/s) to 3×1019Hz/s, which can correspond to a chirp bandwidth of about 0.1 THz. In general, the chirp rates KT and KLO are designed or adjusted to be nominally identical to each other. In the present description, the terms “nominal” and “nominally” when referring to a value or an amount mean an intended, expected or predetermined value or amount that may differ from the actual value or amount.
Referring still to Equations (1) and (2), the terms φT(t) and φLO(t−Δt−δt) represent phase errors that account for deviations of ET(t) and ELO(t) from perfectly linear chirp waveforms. The sum of the terms Δt and δt represents the actual temporal delay between the transmission signal and the LO signal. First, the term Δt corresponds to the nominal temporal delay, which is set and controlled by the delay controller. The nominal time delay Δt can be adjusted based on, and preferably to match, the round-trip time to the target region, to ensure that the spectrum of the beat signal falls within the bandwidth of the detector. This delay can depend on the range to the target region, the SA looking angle, and the beam footprint of the transmission signal. By way of example, the time delay will be of the order of about ±2 μs to accommodate fluctuations in the range to the target region of the order of ±300 m. It is a feature of some implementations of the present techniques that the time delay of the LO signal with respect to the transmission signal can be adjusted in real-time or near real-time as a function of fluctuations in the range to target region during data acquisition. Second, the term δt is an error term accounting for the deviation of the actual temporal delay from the nominal temporal delay. The term δt can also be referred to as the “timing jitter” on the nominal time delay Δt. As used herein, the term “jitter” refers to the difference between the expected time and the actual time when an event occurs.
The term Δf is a frequency offset between the center frequency f0 of the transmission signal and the center frequency f0−Δf of the LO signal. Indeed, while the center frequencies of the two signals are generally intended or expected to be identical, in practice, the measured values generally differ from each other and fluctuate from sweep to sweep due to phase noise caused by temperature fluctuations, mechanical vibrations, fluctuations in the laser drive current, and other noise effects. The term 66 f can be referred to as the “frequency-offset jitter”.
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In
The full complex signal Sraw can be reconstructed from the measured in-phase and quadrature signals Sraw,I and Sraw,Q as Sraw=Sraw,I−iSraw,Q. When the electric fields ET(t) and ELO(t) of the transmission and LO signals are given by Equations (1) and (2), the measured raw signal Sraw can be written as:
In Equation (3), AI is the scattering amplitude coefficient of the Ith scatterer, Δxi is the round-trip range to the Ith scatterer in the target region, c is the speed of light in vacuum, and the summation over I accounts for the fact that the return signal includes a contribution from each discrete scatterer in the target region. From Equation (3), one can see that the beat frequency associated with the measured raw signal Sraw can be controlled dynamically by adjusting the nominal time delay Δt between the generations of the transmission signal and the LO signal. Equation (3) assumes that the chirp rates KT and KLO of the transmission and LO signals 32, 34 are nominally identical and that the difference between their values, if any, is negligible. If this difference cannot be neglected, then a chirp rate phase error iπ(KT−KLO)t2 can be added in the argument of the exponential function in Equation (3).
The raw signal Sraw of Equation (3) also includes several error terms: φT(t), φLO(t−Δt−δt) δt and Δf. As mentioned above, the terms φT(t), φLO(t−Δt−δt) are the transmission and LO phase errors that account for deviations of ET(t) and ELO(t) from perfectly linear chirp waveforms, and the term δt is the timing jitter on the nominal time delay Δt. Meanwhile, the term Δf is the frequency-offset jitter that represents the difference between the center frequency f0 of the transmission signal and the center frequency f0−Δf of the LO signal.
The terms φT(t), φLO(t−Δt−δt), δt and Δf, whose values are unknown a priori, introduce errors in the phase history of the return signal which, in turn, can degrade the quality of the reconstructed image. The present techniques provide a method in which values for φT(t), φLO(t−Δt−δt), δt and Δf are determined and then used to correct phase errors in Sraw to obtain a phase-corrected SA signal. In the following, an exemplary, non-limiting approach for obtaining phase correction factors from the raw signal Sraw will be described.
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As illustrated in the embodiment of
In some implementations, the transmission interference signal ST outputted by the transmission interferometer 58 and the LO interference signal SLO outputted by the LO interferometer 60 can be received and detected by two distinct optical detectors 66, 68 of the detector assembly 56, for example PIN or avalanche photodiode detectors. This case is illustrated in
When the electric fields ET(t) and ELO(t) of the transmission and LO signals are given by Equations (1) and (2), the measured transmission interference signal ST and the LO interference signal SLO can be written as:
Once the interference signals ST and SLO have been measured, converted to electrical signals and stored as signal data, various analysis and computational techniques can be employed to extract the transmission phase error φT and the LO phase error φLO. By way of example, such techniques can involve extracting the phase of the measured interference signal; isolating the phase component φ(y)−φ(t−Δx/c)≈(Δx/c)∂φ/∂t; and numerically integrating (Δx/c)∂φ/∂t over time to obtain φ(t).
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In
Because of the time delay Δt between the generation of the transmission signal 32 and the generation of the LO signal 34 and, optionally, the existence of a fixed path length difference ΔxT-LO between the third portion 32c of the transmission signal 32 and the third portion 34c of the LO signal 34, the transmission-LO signal ST-LO is a beat signal whose frequency depends on Δt and, if present, ΔxT-LO. When the electric fields ET(t) and ELO(t) of the transmission and LO signals are given respectively by Equations (1) and (2), the T-LO signal ST-LO measured by the optical detector 74 can be written as:
The T-LO signal ST-LO depends on the transmission and LO phase errors φT and φLO, whose values can be determined from the transmission and LO interference signals ST and SLO outputted respectively by the transmission and LO interferometers 58, 60, as well as on the time jitter δt and the frequency-offset jitter Δf, whose values can be determined from ST-LO using the previously determined values for φT and φLO, as will now be described. The terms KLOδt+Δf in Equation (6) represent the total frequency jitter between the transmission signal 32 and the LO signal 34, that is, the sum of the error δt on the time delay ΔT and of the frequency offset Δf between the transmission signal 32 and the LO signal 34.
In some implementations, the jitters Δt and δt can be extracted from sweep-to-sweep fluctuations in the peak position of the frequency spectrum of the measured T-LO signal ST-LO. First, a corrected version of ST-LO is computed, yielding:
The argument of the exponential function in Equation (7) is a phase correction factor, in which φT and φLO are known from Equations (4) and (5) and 67 t′ is an estimation of δt obtained from a minimization of the spectral linewidth of ST-LO. The total frequency jitter KLOδt+Δf can then be evaluated by determining the peak position of the frequency spectrum of ST-LO,corr. It will be understood that other analytical and/or numerical computational techniques can be used in other embodiments to determine the frequency jitter KLOδt+Δf.
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In some implementations, the phase correction can include a first step of obtaining a “jitter-corrected” raw SA signal Sjitter-corr by multiplying Sraw , by a phase correction factor exp[−i2π(KLOδt+Δf)t−i2πf0δt]:
The phase correction can also include a second step of correcting phase errors due to φT, φLO and Δf in Equation (8). This yields:
In Equation (9), FFT denotes a fast Fourier transform, IFFT denotes an inverse FFT, Δxf
S
corr(t)=ΣiScorr(t)f
In some implementations, the difference between the chirp rate KT of the transmission signal and the chirp rate KLO of the LO signal may not be negligible. Referring to
Once the phase-corrected SA signal Scorr has been obtained, for example from Equation (10), it may then be processed using known SA processing techniques involving, for example, FFT and matched filtering algorithms, or optronic processing, to reconstruct an image of the target region in which the impact of phase errors arising from the fact that the transmission signal and the LO signals originate from distinct and time-delayed pulses is mitigated. In this regard, it will be understood by those skilled in the art that various techniques could be employed, given the many approaches and algorithms available for numerically and/or optronically processing SA data.
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Of course, numerous modifications could be made to the embodiments described above without departing from the scope of the appended claims.